TY - JOUR
T1 - Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves
AU - Alara, Oluwaseun Ruth
AU - Abdurahman, Nour Hamid
AU - Abdul Mudalip, Siti Kholijah
AU - Olalere, Olusegun Abayomi
N1 - Funding Information:
The authors acknowledge the financial support from UMP soft grant ( RDU180329 ).
Publisher Copyright:
© 2018 Kasetsart University
PY - 2018/6/5
Y1 - 2018/6/5
N2 - The drying behavior of Vernonia amygdalina leaves was investigated using open sun and shade drying. The effective diffusivity coefficients for both methods were evaluated. Eight drying kinetics models were fitted to the experimental data obtained from the two drying methods; the goodness of fit was evaluated using three statistical tools, and the best model was selected. The Midilli and Kucuk model, which gave higher values of the coefficient of determination and lower values of the reduced chi-square and root mean square error was considered the best for predicting the drying behavior of open sun-dried and shade-dried V. amygdalina leaves with values of R of 0.99951 and 0.99981, RMSE of 0.00243 and 0.00253 and reduced chi-square of 0.000511 and 0.000428, respectively. The values of the effective diffusivity coefficients for open sun and shade drying were 26.58 × 10−10 m2/s and 52.77 × 10−11 m2/s, respectively. Furthermore, open sun drying resulted in severe deformity of the leaf morphology which may lead to degradation of the phytochemicals. Thus, shade drying was the better way of drying V. amygdalina leaves to preserve the nutrients compared to open sun drying.
AB - The drying behavior of Vernonia amygdalina leaves was investigated using open sun and shade drying. The effective diffusivity coefficients for both methods were evaluated. Eight drying kinetics models were fitted to the experimental data obtained from the two drying methods; the goodness of fit was evaluated using three statistical tools, and the best model was selected. The Midilli and Kucuk model, which gave higher values of the coefficient of determination and lower values of the reduced chi-square and root mean square error was considered the best for predicting the drying behavior of open sun-dried and shade-dried V. amygdalina leaves with values of R of 0.99951 and 0.99981, RMSE of 0.00243 and 0.00253 and reduced chi-square of 0.000511 and 0.000428, respectively. The values of the effective diffusivity coefficients for open sun and shade drying were 26.58 × 10−10 m2/s and 52.77 × 10−11 m2/s, respectively. Furthermore, open sun drying resulted in severe deformity of the leaf morphology which may lead to degradation of the phytochemicals. Thus, shade drying was the better way of drying V. amygdalina leaves to preserve the nutrients compared to open sun drying.
KW - Mathematical model
KW - Shade drying
KW - Sun drying
KW - Vernonia amygdalina
UR - http://www.scopus.com/inward/record.url?scp=85049095709&partnerID=8YFLogxK
U2 - 10.1016/j.anres.2018.05.013
DO - 10.1016/j.anres.2018.05.013
M3 - Article
AN - SCOPUS:85049095709
VL - 52
SP - 53
EP - 58
JO - Agriculture and Natural Resources
JF - Agriculture and Natural Resources
SN - 2468-1458
IS - 1
ER -